Article
Prediction of complex human traits using the genomic best linear unbiased predictor.
PLoS genetics - 1 Jan 2013
de Los Campos Gustavo, Vazquez Ana I, Fernando Rohan, Klimentidis Yann C, Sorensen Daniel
Abstract excerpt
Despite important advances from Genome Wide Association Studies (GWAS), for most complex human traits and diseases, a sizable proportion of genetic variance remains unexplained and prediction accuracy (PA) is usually low. Evidence suggests that PA can be improved using Whole-Genome Regression (WGR) models where phenotypes are regressed on hundreds of thousands of variants simultaneously. The Genomic Best Linear...
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